Tips & Tricks
The purpose of this segment is to share some of our favorite tools for working with data in R. We will focus on packages that are less popular than the Greatest of All Times (e.g. tidyverse and its associated ggplot2, dplyr, tidyr, etc.) though we highly encourage you to check these out!
here: no more getting lost in file paths
As we introduced in the previous module, here is an excellent package that’s worth getting to know because it will let you use relative as opposed to absolute pathnames. This will simplify importing and exporting files as well as sharing them with others.
How to install
install.packages("here")How to use
library(here)## here() starts at C:/Users/sbrei/Documents/R_Projects/Collabs/BGSS_Retreat_2021here::here() # once you call the package with the library(here) call, you can use this function to remind you where your project root begins.## [1] "C:/Users/sbrei/Documents/R_Projects/Collabs/BGSS_Retreat_2021"revisit “here” package description
Artwork by Allison Horst
magrittr: these pipes will make your work flow
patchwork: make your figures nice and cozy
performance: evaluate your general linear models in a flash
Survey
Please take 5 minutes and give us some feedback about today’s workshop- we’d be so grateful! Check out the “Feedback Page” link below. Thanks!